CRIFS Research Positions Available

Posted on Friday, November 20th, 2020

Positions in Food Safety/Microbiology
Canadian Research Institute for Food Safety (CRIFS)
Food Science Department, University of Guelph

The Canadian Research Institute for Food Safety (CRIFS) has several positions available to join Dr. Lawrence Goodridge’s team in a collaborative environment promoting creative scientific research and career development.  

Our current work has a major emphasis in microbial food safety and encompasses the use of genomics and modelling approaches to: 

  1. Improve surveillance of foodborne and other infectious diseases, 
  2. Develop an understanding of infectious disease transmission, and
  3. Develop modern approaches to understand foodborne pathogen virulence and survival in foods.

Available positions:

  • 2 Postdoctoral Fellow positions
  • 1 Research Assistant/Technician II position

If you are interested, please contact Dr. Valeria Parreira Pinto (vparreir@uoguelph.ca

Include in your email: 

  • note include the position description in the subject line
  • a Cover letter introducing yourself and explaining your relevant background experience,
  • a personal statement indicating why you want to be part of our team,
  • names of two references with contact information (email, phone number)  
  • and an updated CV.

Only appropriate candidates will be contacted by e-mail for an interview and formal application process instructions.


Postdoctoral Fellowship - Microbial Genomics and Bioinformatics (1 year position, with possibility of renewal)

We are seeking a highly motivated postdoctoral fellow to contribute to an effort that integrates genomics/metagenomics and epidemiological/clinical data to enhance investigations of infectious diseases caused by foodborne pathogens (e.g. bacteria, viruses and parasites). This is a collaborative project involving microbiologists, and genomics specialists and epidemiologists.

Key Responsibilities: Under the direction of the principal investigator the successful applicant will perform integration of genomics/metagenomics and epidemiological/clinical data for infections caused by foodborne pathogens of public health relevance. The successful applicant will design, execute, and conduct experiments, analyze data and prepare reports, develop manuscripts for publication, and attend meetings as required.

Qualifications, Knowledge and Skills: The successful applicant will have biology training and experience with contemporary experimental approaches, particularly knowledge of bioinformatics tools and the ability to analyze large-scale genomics datasets, including next-generation sequencing and genome-wide genotyping datasets knowledge of open source and commercial microbial NGS analysis pipelines (Seqsphere, Bionumerics, CGE Toolbox, Geneious) is an asset. Demonstrated competency with Linux and proficiency in programming in Perl, Python, R, MySql, etc. and shell scripting is an asset. Thorough understanding of molecular biology would also be considered an asset. 

Education and Experience: The successful applicant will have a PhD degree in microbiology, genetics, epidemiology, statistical genetics, bioinformatics or related field. Experience in bioinformatics. Experience working with complex samples is an asset.

Attributes and Competencies: The successful applicant will have excellent problem-solving and decision-making skills with the ability to troubleshoot computational processes and provide meaningful biological interpretation of ‘omics data. Excellent written communication skills with demonstrated experience in preparing research publications. It is an asset to have a strong publication record during graduate studies. The successful candidate will have a strong work ethic, excellent organizational and excellent oral and written (as demonstrated by publication record) communication skills to discuss results with scientific professionals. Demonstrated interpersonal skills including the ability to work effectively with others in a team environment, especially within a multi-disciplinary team.

Postdoctoral Fellowship - Modeling foodborne infectious disease (1 year position, with possibility of renewal)

We are seeking a highly motivated postdoctoral fellow for developing disease models using data mining in order to predict and stop foodborne outbreaks before they occur and, also events that lead to the emergence of new foodborne pathogens and/or foodborne outbreaks. This is a collaborative project involving microbiologists, epidemiologists and specialists on Data Management and Data Governance at the University of Guelph.

Key Responsibilities:  Under the direction of the principal investigator the successful applicant will (i) perform machine learning using a validated list of foodborne outbreaks, (ii) build mathematical models with data obtained from the data mining and (iii) map data of foodborne outbreaks with climate data, food import data among others. The successful applicant will design, execute, and conduct experiments, analyze data and prepare reports, develop manuscripts for publication, and attend meetings as required.

Qualifications, Knowledge and Skills: The successful applicant will have experience working with diverse data (big, small, sparse, empirical, modeled, etc.). Expertise with statistical software and associated programs (e.g., R (strongly preferred), Python, SAS). Experience with building pipelines and scaling models with cloud computing platforms. The ability to effectively explain complex statistical models to individuals from different disciplinary backgrounds. Excellent oral and written communication skills and self-starter able to work independently and take ownership of work. Experience in creating infectious disease spread models and working with microbiological data is an asset.

Education and Experience: The successful applicant will have a PhD degree in computer science, epidemiology, bioinformatics or related field.

Attributes and Competencies: The successful applicant will have excellent problem-solving and decision-making skills with the ability to troubleshoot mathematical models and provide meaningful interpretation of foodborne outbreaks data. Excellent written communication skills with demonstrated experience in preparing research publications. It is an asset to have a strong publication record during graduate studies. The successful candidate will have a strong work ethic, excellent organizational and excellent oral and written (as demonstrated by publication record) communication skills to discuss results with scientific professionals. Demonstrated interpersonal skills including the ability to work effectively with others in a team environment, especially within a multi-disciplinary team.

Research Assistant/Technician II (1 year position, with possibility of renewal)

We are seeking a highly motivated Microbiology and Molecular Biology Technician who will be involved in performing molecular assays, as part of the Ontario Wastewater Surveillance Initiative, which is a collaborative project involving microbiologists, and genomics specialists and epidemiologists, and public health officials who are conducting COVID-19 surveillance in wastewater to understand disease transmission.

Responsibilities:  Key Responsibilities: Under the direction of the principal investigator the successful applicant will prepare components for experiments, including media buffers, and other solutions as needed; collect wastewater samples from wastewater treatment plants and process the samples; extract RNA from the wastewater samples, and analyze the samples using real time quantitative polymerase chain reaction (q-RT-PCR) and digital PCR assays. The successful applicant will also analyze and upload data to databases, and prepare reports and manuscripts for publication, as well as attending meetings as required.

Qualifications, Knowledge and Skills: Previous laboratory experience is also a must, specifically RNA extraction and qPCR analysis.

Education and Experience: The successful applicant will have a B.Sc. in biology, biochemistry or related field, including completion of at least a second year level molecular biology course, AND a second year level microbiology course. Experience working with complex samples is an asset.

Attributes and Competencies: The successful applicant will have excellent problem-solving and decision-making skills with the ability to troubleshoot computational processes and provide meaningful biological interpretation of PCR data. The successful candidate will have a strong work ethic, excellent organizational and excellent oral and written communication skills to discuss results with scientific professionals. Demonstrated interpersonal skills including the ability to work effectively with others in a team environment, especially within a multi-disciplinary team. A high Level of personal and professional integrity, and a driver’s license is also required.
 

 

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